{"id":"https://openalex.org/W4372346401","doi":"https://doi.org/10.1109/icassp49357.2023.10096214","title":"Deep Fusion of Multi-Object Densities Using Transformer","display_name":"Deep Fusion of Multi-Object Densities Using Transformer","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372346401","doi":"https://doi.org/10.1109/icassp49357.2023.10096214"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077213008","display_name":"Lechi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lechi Li","raw_affiliation_strings":["Chalmers University of Technology,Gothenburg,Sweden","Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology,Gothenburg,Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101516623","display_name":"Chen Dai","orcid":"https://orcid.org/0000-0002-3906-1420"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Chen Dai","raw_affiliation_strings":["Chalmers University of Technology,Gothenburg,Sweden","Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology,Gothenburg,Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025858225","display_name":"Yuxuan Xia","orcid":"https://orcid.org/0000-0002-2788-7911"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Yuxuan Xia","raw_affiliation_strings":["Chalmers University of Technology,Gothenburg,Sweden","Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology,Gothenburg,Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029413988","display_name":"Lennart Svensson","orcid":"https://orcid.org/0000-0003-0206-9186"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lennart Svensson","raw_affiliation_strings":["Chalmers University of Technology,Gothenburg,Sweden","Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology,Gothenburg,Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":null,"apc_paid":null,"fwci":0.8712,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73103758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.965499997138977,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6897353529930115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6608128547668457},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6521390676498413},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6071969866752625},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5958134531974792},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5704708099365234},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.5382542014122009},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5112152099609375},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.4404431879520416},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43985262513160706},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4219839572906494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3236704468727112},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.28418105840682983},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1624511182308197},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.14635202288627625}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6897353529930115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6608128547668457},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6521390676498413},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6071969866752625},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5958134531974792},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5704708099365234},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.5382542014122009},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5112152099609375},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.4404431879520416},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43985262513160706},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4219839572906494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3236704468727112},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.28418105840682983},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1624511182308197},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.14635202288627625},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:539184","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/539184","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W1489354835","https://openalex.org/W1999890569","https://openalex.org/W2078742450","https://openalex.org/W2087204158","https://openalex.org/W2296664252","https://openalex.org/W2347012009","https://openalex.org/W2398554122","https://openalex.org/W2891936714","https://openalex.org/W2964136933","https://openalex.org/W3007456408","https://openalex.org/W3013404017","https://openalex.org/W3041057935","https://openalex.org/W3084747182","https://openalex.org/W3090449432","https://openalex.org/W3099552904","https://openalex.org/W3101703006","https://openalex.org/W3119686997","https://openalex.org/W3125201581","https://openalex.org/W3153532599","https://openalex.org/W3169502301","https://openalex.org/W3180450071","https://openalex.org/W3192658577","https://openalex.org/W4220861777","https://openalex.org/W4221142801","https://openalex.org/W4283783270","https://openalex.org/W4285293375","https://openalex.org/W4289121624","https://openalex.org/W4292622303","https://openalex.org/W4312473433","https://openalex.org/W4385245566","https://openalex.org/W6629078698","https://openalex.org/W6672397782","https://openalex.org/W6739901393","https://openalex.org/W6809883362","https://openalex.org/W6841239386"],"related_works":["https://openalex.org/W2154495931","https://openalex.org/W4320086059","https://openalex.org/W4313480467","https://openalex.org/W4210734798","https://openalex.org/W4312249400","https://openalex.org/W3093712048","https://openalex.org/W3159642117","https://openalex.org/W2985391290","https://openalex.org/W1904671147","https://openalex.org/W3015573086"],"abstract_inverted_index":{"The":[0,127,145],"fusion":[1,82,107,114,134],"of":[2,92,104],"multiple":[3],"probability":[4],"densities":[5],"has":[6],"important":[7],"applications":[8],"in":[9,53,116,141],"many":[10],"fields,":[11],"including,":[12],"for":[13],"example,":[14],"multi-sensor":[15],"signal":[16],"processing,":[17],"robotics,":[18],"and":[19],"smart":[20],"environments.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25,72],"demonstrate":[26],"that":[27,131],"deep":[28],"learning":[29],"based":[30],"methods":[31],"can":[32],"be":[33],"used":[34],"to":[35],"fuse":[36,67],"multi-object":[37,64,78,87],"densities.":[38,65],"Given":[39],"a":[40,57,74,85,110],"scenario":[41],"with":[42,45,109,120],"several":[43,117],"sensors":[44],"possibly":[46],"different":[47,70,121],"field-of-views,":[48],"tracking":[49],"is":[50,84,147],"performed":[51],"locally":[52],"each":[54],"sensor":[55],"by":[56],"tracker,":[58,79],"which":[59],"produces":[60],"random":[61],"finite":[62],"set":[63,91],"To":[66],"outputs":[68],"from":[69],"trackers,":[71],"adapt":[73],"recently":[75],"proposed":[76],"transformer-based":[77,106,133],"where":[80],"the":[81,90,97,102,105,132,137],"result":[83],"global":[86],"density,":[88],"describing":[89],"all":[93],"alive":[94],"objects":[95],"at":[96,149],"current":[98],"time.":[99],"We":[100],"compare":[101],"performance":[103],"method":[108,115,135,140],"well-performing":[111],"model-based":[112,138],"Bayesian":[113,139],"simulated":[118],"scenarios":[119],"parameter":[122],"settings":[123],"using":[124],"synthetic":[125],"data.":[126],"simulation":[128],"results":[129],"show":[130],"outperforms":[136],"our":[142],"experimental":[143],"scenarios.":[144],"code":[146],"available":[148],"https://github.com/Lechili/DeepFusion.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
